<<

Review Successional Categorization of European Hemi-boreal

Raimundas Petrokas 1 , Virgilijus Baliuckas 1 and Michael Manton 2,*

1 Department of Forest Genetics and Tree Breeding, Institute of , Lithuanian Research Centre for Agriculture and Forestry, Kaunas distr LT-53101, Lithuania; [email protected] (R.P.); [email protected] (V.B.) 2 Institute of Forest Biology and , Vytautas Magnus University, Studentu 11, Akademija, Kaunas LT-53361, Lithuania * Correspondence: [email protected]

 Received: 7 September 2020; Accepted: 14 October 2020; Published: 16 October 2020 

Abstract: Developing forest harvesting regimes that mimic natural forest dynamics requires knowledge on typical species behaviors and how they respond to environmental conditions. Species regeneration and survival after depends on a species’ life history traits. Therefore, forest succession determines the extent to which forest communities are able to cope with environmental change. The aim of this review was to (i) review the life history dynamics of hemi-boreal tree species in the context of , and (ii) categorize each of these tree species into one of four successional development groups (gap colonizers, gap competitors, forest colonizers, or forest competitors). To do this we embraced the super-organism approach to communities using their life history dynamics and traits. Our review touches on the importance and vulnerability of these four types of successional groups, their absence and presence in the community, and how they can be used as a core component to evaluate if the development of the community is progressing towards the restoration of the climatic climax. Applying a theoretical framework to generate ideas, we suggest that should be managed to maintain environmental conditions that support the natural variety and sequence of tree species’ life histories by promoting genetic invariance and to help secure resilience for the future. This could be achieved by employing harvesting methods that emulate natural disturbances and regeneration programs that contribute to maintenance of the four successional groups.

Keywords: climatic climax; life history; forest disturbance; gap colonizers; gap competitors; forest colonizers; forest competitors; forest dynamics; forest management

1. Background Forests are complex systems of interacting organisms; to manage them for tree species composition and production we need thorough knowledge of the variety of tree species’ life histories and how they interact. Within the hemi-boreal forest climatic zone there are three main forest disturbance regimes that host a variety of successional characteristics: (i) stand succession (large or stand replacing disturbance such as severe fire, windthrows, or current clear felling), (ii) cohort dynamics (related to partial disturbances of a stand such as a low intensity ground fire or forest thinning), and (iii) gap dynamics (such as small patch or a fallen tree) [1]. Succession is a sequential shift of patterns and processes in terms of the relative abundance of dominant species [2]. The succession of forest stands and patches largely determines the extent to which forest communities are able to cope with changes in environmental conditions and forest loss due to natural disturbances or human activity [3–6]. Forest disturbances trigger successional events that lead to climatically determined end communities or climatic climax, generally regarded as a position of stability in the development of vegetation [7–9].

Plants 2020, 9, 1381; doi:10.3390/plants9101381 www.mdpi.com/journal/plants Plants 2020, 9, 1381 2 of 11

The first definition of climax was described by Clements [10] as the ability of species composition to remains stable for more than one tree generation (i.e., the tree species replace themselves) in the absence of disturbance other than tree deaths due to old age. Thus, a forest that can regenerate naturally with the same composition over time can qualify as natural climax. Although Clements’ [10] dynamic ecology concept is still valid [11], it does not represent the boundless factors impacting ecological succession. For example, the role and importance of both biotic and abiotic factors in predicting species distributions remains unclear [12–16]. Therefore, no clear conclusion can be drawn as to the successional position of tree species [10]. The probability of species survival and succession after disturbance depends on a species’ genetic profile to deal with a variety of environmental characteristics [17]. In other words, a tree’s life history traits define its position along its successional pathway that includes functional strategies for reproduction or resource capture [18]. The fundamental principle underlying the theory of invariance is that the laws of nature always have the same form for all observers [19]. This implies that all the elements of any developing living system interact, and thus all elements are ecologically equivalent, as the essence of ecological law and processes lies in invariance by which a living system following a disturbance returns to its stable state [20,21]. From a wildlife perspective, each organism, population, and community have different environmental scales in both time and space [22], and individual species may impact another species’ life history traits [23,24]. Thus, there are different perceptions about the interactions among species (that otherwise can survive virtually the same for millions of years), which proceed towards the ecological equivalence of climatically determined end communities [25]. Primary forests exist in a delicate but stable climax with all other components of the ecosystem; not one component can change without compensating changes in the others. For example, harvesting or thinning a forest stand will inevitably be followed by changes in the soil profile, vegetation, and life occurrence [9]. Generally, the dynamics of forest communities can be controlled by a set of ecologically invariant life-history traits of tree species turnovers [9,26–29]. The natural tendency of forest succession is towards climatic climax, whereas the succession of forests after human activity (e.g., fire, grazing, and soil deterioration due to over-cultivation) can result in adaptation of biotic climaxes [9]. Therefore, forest restoration that aids the recovery of forest structure, ecological functioning, and towards those typical of a climax forest by the re-instatement of ecological processes is needed [30]. From an organism-centered perspective, developing forest management and exploitation regimes that mimic the natural conditions as closely as possible requires the determination of the degree to which typical species behaviors are responsible for the emergence of climatic climax [31–36]. The aim of this review was two-fold: (i) to review the life history dynamics of hemi-boreal tree species found in Lithuania in the context of ecological succession, and (ii) to categorize Lithuania’s forest tree species into four successional development classes. Finally, we discuss how they can be used to evaluate if the development of the community is progressing towards the restoration of the climatic climax.

2. Successional Categorization of Forest Tree Species in Lithuania Lithuania (62,000 km2) is situated in the hemi-boreal climatic zone (i.e., the transitional zone from temperate to boreal forests) and is affected by the humid marine climate of the Baltic Sea [37]. The natural potential forest cover of Lithuania is predominantly composed of five main forest types: (i) hemi-boreal spruce forest with mixed broadleaved (55%), (ii) mixed forests (22%), (iii) boreal and hemi-boreal pine forests with partial broadleaved trees (18%), (iv) lime-pedunculate oak forests (4%), and (v) species-poor oak and mixed oak forests (1%) [38]. Thus, the natural climatic climax of the region for tree species consisted of Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies L.) Karst), birch (Betula pendula Roth and B. pubescens Ehrh), alder (Alnus glutinosa L. Gaertn. and A. incana L. Moench), English oak (Quercus robur L.), small-leaved lime (Tilia cordata Mill.), and European hornbeam (Carpinus betulus L.) [39]. Currently approximately 33% of Lithuania is forested with Scots pine, Norway spruce, and birch forming the dominating forest stand types [40]. The full range of hemi-boreal forest species found in Lithuania and their life history dynamics can be found in Table1. Plants 2020, 9, 1381 3 of 11

Table 1. A simplified framework for the life history dynamics for hemi-boreal tree species in Lithuania. See Supplementary Materials 1 for more details on each species.

Life History Traits Tree Species Dominant Stand Soil Moisture A Soil Fertility B Life Expectancy [42] Shade Tolerance Hardiness C [43] Successional Strategy Proportion [40] [41,42] [41,42] (Harvesting Age) [44] Dominant Forest Tree Species Scots pine (Pinus sylvestris L.) 34.6% 1–3 and 5 1–3 and 5 Intolerant 9 300–400 (110) Disturbance generalist Norway spruce (Picea abies L. Karst) 20.9% 3–4 3–4 Intermediate 7 200–300 (71) Succession generalist Silver birch (Betula pendula Roth) 22.0% 2–5 2–4 Intolerant 9–10 150 (61) Disturbance generalist Black alder (Alnus glutinosa L. Gaertn) 7.6% 4–5 3–4 Intermediate 7 180–200 (61) Disturbance generalist Grey alder (Alnus incana L. Moench) 5.9% 2–5 3–4 Intermediate 9 50–70 (31) Disturbance generalist Eurasian aspen (Populus tremula) 4.6% 3–4 3–4 Intolerant 9 80–100 (41) Disturbance generalist English oak (Quercus robur L.) 2.2% 3–4 3–4 Intolerant 6–7 500–600 (121) Disturbance specialist European ash (Fraxinus excelsior L.) 0.9% 3–5 4–5 Intermediate 7–8 > 300 (101) Succession specialist Other Secondary Native Forest Species Small-leaved lime (Tilia cordata Mill.) 0.4% 3 3–4 Intermediate 7 500–600 (61) Succession specialist Downy birch (Betula pubescens Ehrh) 0.4% 3–5 2–5 Intolerant 9 100 D Disturbance generalist European hornbeam (Carpinus betulus L.) 0.2% 3 3–4 Tolerant 5 200–300 (61) Disturbance generalist Norway maple (Acer platanoides L.) 0.2% 3–4 3–5 Tolerant 8 150–300 (101) Disturbance specialist White willow (Salix alba L.) <0.2% 4 4–5 Intolerant 8 >100 (31) Disturbance generalist Bird cherry (Prunus padus L.) <0.2% 4–5 3–5 Intermediate 9 150 D Disturbance specialist Crack willow (Salix fragilis L) <0.2% 4 4–5 Intolerant 8 75 (31) Disturbance generalist Field elm (Ulmus minor Mill.) <0.2% 2–4 4 Intermediate 5 300 (101) Succession specialist European white elm (Ulmus laevis Pall.) <0.2% 3–4 3–4 Tolerant 6–7 250–300 (101) Succession specialist Wych elm (Ulmus. glabra Huds.) <0.2% 3–4 4–5 Tolerant 6 300 (101) Succession specialist Wild apple (Malus sylvestris L. Mill.) <0.2% 4–5 3–5 Intolerant 8 300 D Disturbance specialist Wild pear (Pyrus pyraster L. Burgsd.) <0.2% 3–4 3–4 Intermediate 6 200–300 D Disturbance specialist Introduced Species European (Fagus sylvatica L.) <0.2% 3 [37] 3–4 Tolerant 5 500 (101) Succession generalist Sessile oak (Quercus petraea Matt. Liebl.) <0.2% 3 2–3 Intermediate 6–7 500–600 D Disturbance specialist Large-leaved lime (Tilia platyphyllos Scop.) <0.2% 3–4 4–5 Intermediate 7 500–600 D Succession specialist Wild cherry (Prunus avium L.) <0.02% 3–4 3–4 Tolerant 8 100 D Disturbance generalist A Soil moisture is rated on 1–5 scale: 1 = dry and 5 = very wet. B Soil fertility is rated on a 1–5 scale: 1 = infertile and 5 = very fertile. C Hardiness refers to the ability of tree to tolerate the cold: 0 = intolerant, 0 C, and 10 = most tolerant, down to 40 C[43]. D Harvest age was not defined. ◦ − ◦ Plants 2020, 9, 1381 4 of 11

3. Four Types of Forest Successional Groups for Lithuania In landscape ecology, invariance of scale is a main concept that focuses on the influence exerted by spatio-temporal patterns of species distribution on the organization of, and interaction among, functionally integrated multispecies [45,46]. Successional trajectories are an expression of sensitivity of interaction among the patterns of species distribution [35,45]. Watt [47] was a pioneer in linking space and time using the scale of landscape by applying two main forest dynamic models: (i) the patch–mosaic model, and (ii) the gap–phase model [45,48]. However, Watt [47] highlighted that phases were synonymous with patches, and that the gap phase could have different spatial dimensions, which could be considered as a stage of forest development where regeneration was confined. Nonetheless, patches within the landscape may not be self-evident, as environmental characteristics of different species, genotypes, or phenotypes may vary in scale [49]. For example, from a forest management and exploitation perspective, a patch may correspond to a forest stand, which may not function as a patch of from a particular organism’s perspective [50]. Moreover, Bugmann’s [51] forest gap model analysis was not able confirm the assumption that a forest can be summarized as a composite of many horizontally homogeneous patches of land, where each patch can have a different age and successional stage, and that the successional processes may be described for each patch separately. Gap formation drives both the forest growth cycle and also determines forest floristics [52]. For instance, pioneer species often have a variety of specific life traits and in turn can produce sporadic and opportunistic patches during later stages of the succession [9]. In general, shade-tolerant species have a greater chance of successful regeneration in small gap openings compared to light-demanding species, which require larger gaps or stand replacement succession [49]. This is attributable to the contrasting growth patterns and life history traits of tree species with early-successional or large gap specialists exhibiting a height growth type, while on the other hand, late-successional or small gap specialists exhibit a crown growth type [49]. The trajectories of succession can be defined by rates of recruitment, growth, and mortality of a tree species population [53]. Therefore, using life history dynamic traits (e.g., natural regeneration dynamics, establishment, and growth (Table1 and Supplemental Materials 1), we categorized each of Lithuania’s forest tree species into one of the four types of successional groups based on environmental specialization of species and tree regeneration modes in forest gaps (Table2). These resemble Clark and Clark’s [54] four dominant microsite patterns of tree species (A–D), which suggest significantly different regeneration biology, Whitmore’s [55] pioneer tree species index (1–4), Yamamoto’s [56] four major types of tree regeneration mode in gaps, Petrere et al.’s [36] four community types, and Chazdon et al.’s [53] old-growth generalists, successional generalists, and successional specialists.

Table 2. Successional categories of the hemi-boreal forest tree species establishment and growth in Lithuania [39,41,57–61]. The four types of successional groups (in bold) resemble Clark and Clark’s [54] four dominant microsite patterns of tree species (A–D) and Whitmore’s [55] tree species groups (1–4). Modified from Franklin [5].

Establishment Growth Forest Gaps Gap Competitors or Post-pioneers (C) Forest Competitors or Natural Climax (A) Regenerates and grows best in gaps, Advanced self-regeneration under shade saplings can survive in closed forests; and grows best in forest stands; average increased juvenile growth potential over growth rates, especially as juveniles (1). groups A or B (3). Forest Quercus robur Tilia cordata Quercus petraea Tilia platyphyllos Fraxinus excelsior Fagus sylvatica Ulmus laevis Carpinus betulus Malus sylvestris Pyrus pyraster Plants 2020, 9, 1381 5 of 11

Table 2. Cont.

Establishment Growth Forest Gaps Forest Colonizers or Pre-climax (B) Gap Colonizers or Pioneers (D) Regenerates in shade but shows heightened Regenerates after gap formation and association with gaps as saplings; growth achieves optimal growth at all juvenile rates are as low as group A but increase stages; juveniles have the highest growth with size (2). potential (4). Betula pendula Betula pubescens Gaps Pinus sylvestris Picea abies Populus tremula Acer platanoides Alnus glutinosa Ulmus glabra Alnus incana Ulmus minor Salix alba Salix fragilis Prunus avium Prunus padus

4. General Suggestions for Forest Management Many of the difficulties encountered by silviculturists and forest managers to secure natural regeneration of climax forest species occur due to the selection of shade-intolerant, rapid-growing, pioneer species or through the premature stopping of natural succession in order to maintain a forest in a certain seral stage [7]. However, large scale biogeography and climatic factors have been connected to the shade tolerance of tree species during regeneration succession [62], and the low light survival/high light growth trade-off is only one of the many possible characteristics of tree regeneration along a disturbance gradient [63]. The transition to post-disturbance stands dominated by fast growing shade intolerant tree species will eventually be replaced by late-seral shade-tolerant species. This is not a simple unidirectional sequence of stages, but rather a complex paradigm that is subject to responses of both species and environmental factors [45,64]. For example, Norway spruce is considered a climatic climax forest species in some parts of central Europe but is considered a pioneer species in northern Russia [7,65], or a climax beech forest after one generation may transit into a silver fir dominated stand in one area and a spruce dominated stand in another area [9]. Thus, understanding the dynamics of a tree community following a disturbance requires knowledge of the responses of individual tree species’ traits and how they interact within the local forest community [17]. The life history traits and strategies of individual species are intrinsically related to forest disturbances and account for the interaction among the patterns of species distribution [66]. This offers new ways to test the efficacy of specific interventions by modifying disturbance-related changes in dynamic forest communities [7,32,45]. A natural forest community, according to the theoretical framework applied in this study on successional categorization of the life history dynamics tree species, deems that forests should contain a mixture of tree species from each of the successional categories. This would ensure that the life history traits of both optimal colonizing tree species and optimal competitor tree species would be maintained. For optimal colonizing tree species, this would include dispersal, large somatic plasticity, and regeneration establishment dependency [7,67–70], whereas for optimal competitor tree species, this would include selective dispersal [71], large hereditary plasticity [72–75], and regeneration growth dependency [76]. Moreover, the genetic profile of predominantly self-fertilizing colonizing species indicates that there is cooperation between cross-pollinators and the population stability of the self-fertilizers, and this stimulates the adaptation towards a forest mosaic of small patches [7]. However, the interspecific interactions of new species assemblages provide both opportunities and challenges for species survival. Thus, a variety of tree species’ life histories and how they are integrated into the forest system need to be summarized as a continuum of ecologically invariant life-history Plants 2020, 9, 1381 6 of 11 trajectories of species turnover [77]. Unfortunately, there is limited research evidence as to why forests may lack certain types of successional pathways for species that have life history strategies that are needed to achieve natural climax. The abandonment of natural regeneration to focus on high yield forest management and timber production [7] is often still considered as a criterion of good forest management. However, how can forest managers, conservationists, and researchers help forest ecosystems maintain optimum stability? One avenue is to concentrate efforts to undertake vulnerability and risk assessments that feed into action plans toward managing native tree species [26]. For example, in the United States of America, the Forest Tree Genetic Risk Assessment System (ForGRAS) is used to rank forest tree species for a number of primary risk factors including population structure, rarity, regeneration capacity, dispersal ability, habitat affinity, genetic variation, pest and pathogen threats, and pressure [4,33]. In general, these factors affect ecological processes that are important for ecosystem functioning, such as primary productivity, population recovery from disturbances, interspecific , community structure, and fluxes of energy and nutrients. Ultimately, a key management target is to conserve the genetic legacies for ecosystem memory and the adaptive ability they provide [78]. Indeed, one of the central paradigms in the biological theory is the idea that life adapts genetically to environmental change [33]. However, the available paleodata provides an independent testimony that such an adaptation does not take place for species that succeed each other in the paleorecord, instead they emerge unexpectedly as discrete morphological and genetic entities and survive virtually the same for millions of years [31]. Living ecosystems themselves represent a unique genetic mechanism responsible for the maintenance of Earth’s habitability. A lack of biotic regulation of environmental conditions would trigger large scale uncontrolled changes that would be four orders of magnitude faster than physicochemical processes [33]. For this reason, the variety of tree species’ life history traits and how they interact, constantly evolving toward the climatically determined end communities or climatic climax, is a manifestation of already existing genetic information, written in the genomes of species, which has remained practically unchanged for time periods in the order of several million years (mean time of species existence). Whenever the environment deviates from the optimum, genetically programmed species-typical behaviors and responses ensure that biotic processes can compensate for unfavorable change. The model of initial floristic composition postulates that most late successional tree species will become dominant due to an established soil bank or seedling bank [79]. However, in reality, the difference between a successional forest and a climax forest is subjective, as a forest ecosystem is dynamic, where succession is a continual process [32]. In the absence of external disturbances, a is able to keep its own optimal environment stable for infinitely long periods of time [35,77]. For instance, many of the rarest hemi-boreal forest species are associated with ancient trees that still remain and can be tracked through time to a continuous cover of old trees [38,39]. Thus, understanding the biological legacies produced by natural disturbances and succession is crucial towards reaching sustainable forest management for both conservation and wood production [80]. Remnant tree species of the natural potential forests [38] continue to exist in Lithuania through the current dominant and secondary tree species, as outlined in Table1. Large scale changes in forest cover, regeneration, establishment, species survival, and composition throughout millennia have led to biotic climaxes. For instance, natural oak, ash, and lime forests have become rarer due to both the past and current forest management objectives as well as altered hydrology. Over the past century, Lithuanian forestry has been juxtaposed between two contrasting approaches to forest management: German influence that favored artificial regeneration, and Russian reliance on natural regeneration after timber harvest [66]. Since regaining independence in 1991, Lithuanian forestry has turned into a timber production industry by employing silvicultural practices to generate sustained high yield wood production [40]. This is achieved by forming productive man-made forests that comply with site type conditions [40,81] and reduced harvesting ages of forest stands in comparison to natural forest succession (Table1). As observed by Roberge and Angelstam [ 82] the anthropogenic Plants 2020, 9, 1381 7 of 11 impact on Lithuanian forest biodiversity is still lower compared to countries in western Europe. However, under Lithuania’s current forest management trajectory, it is expected that Lithuania’s forest biodiversity will follow the declining trends of western Europe [83]. In addition, European beech may be expanding its range into the Baltics through the introduction of forestry [84], and wild cherry is spreading into forest stands naturally from domesticated sources [57,60]. The experimental approach to climatic climax in Lithuanian forests until now had not been analyzed. Based on this review, we suggest that forest management should (i) utilize various harvesting methods that not only consider site type regeneration but also emulate natural disturbances, which includes but is not limited to clear cutting of stands, continuous cover forestry, and selective harvesting or gap creation [85]; (ii) the regeneration for forest stands should move away from single species regeneration by implementing the maintenance of the four types of successional groups (Table2); and (iii) increase the felling ages by considering natural succession. As we have highlighted, this will enable the life history traits of the native forest tree species to evolve by invoking genetic invariance and to help secure ecosystem resilience for the future.

5. Concluding Remarks This review focused on the life history dynamics (natural regeneration, establishment, growth, and survival) of 8 dominate tree species, 12 secondary tree species, and 4 introduced species for Lithuania’s hemi-boreal forests. Considering the dendroflora characteristics of Lithuania [41,42], we reviewed each tree species’ characteristics (Table1 and Supplement 1) and assigned each tree to one of the four successional categories (Table2). This was done by embracing the super-organism approach to plant communities that succession is a universal process of a series of events where the types of vegetation in an area are directly related to climate [10]. This analysis of the successional categorization of hemi-boreal forest tree species exemplifies aspects of tree species’ life histories and how they can interact. All individual populations that form a continuous cover of trees throughout time on a site exhibit sensitive interactions. This sensitivity relates to the life history dynamics of tree species turnover towards the restoration of the climatic climax. The sensitivity of interaction among the patterns of species distribution provides new opportunities to test the efficacy of specific interventions to modify the disturbance-related changes in forest dynamics. Due to the adverse risk and effects of climate change on forest and wildlife management, the organization and interaction among multi-species ecosystems need to be understood to forecast the dynamics of local ecological communities following disturbance. This would enable solutions that support climatic climax by introducing a successional approach to restore ecological processes, which would accelerate the recovery of forest structure, ecological functioning, and biodiversity levels towards those typical of climax forests based on predictive models for natural regeneration establishment, growth, and survival. The vulnerability of forest communities to negotiate anthropogenic impacts and climatic changes (the two major forms of disturbance occurring today) could be inferred by identifying the types of successional groups that are absent from a particular forest (target community) but predicted to occur in comparable natural forests (reference community). Despite the recognition that a continuum of biotic patterns related to succession exist, forests should be managed to maintain environmental conditions that support the natural variety and sequence of tree species’ life histories. Each forest tree species can be represented by one of the four types of ecologically invariant life-history trajectories of species turnover: gap colonizers, gap competitors, forest colonizers, or forest competitors. Forest colonizers and forest competitors dominate the climax community, which can regenerate in the same composition over time in the absence of disturbance other than tree deaths due to old age. In contrast, the most shade-intolerant species of gap colonizers and gap competitors depend upon opportunistic disturbances to become established. In this review, we touch on the importance of these four types of successional groups, their absence and presence in the community, and how they could be used as a core component to evaluate if the development of the community is progressing towards the restoration of the climatic climax. Plants 2020, 9, 1381 8 of 11

However, further research in needed to develop the concept of forest succession. This could be undertaken through the inclusion of other biotic components, such as, ground vegetation, wildlife and microorganisms, and their impacts on forest succession as an ecosystem. In closing, we suggest that forests should be managed to maintain environmental conditions that support their natural variety and the sequence of tree species’ life histories.

Supplementary Materials: The following are available online at http://www.mdpi.com/2223-7747/9/10/1381/s1, Table S1: A description of the life history dynamics of hemi-boreal forest tree species and suggested successional categories for Lithuania. Author Contributions: Conceptualization, R.P.,V.B.and M.M.; investigation, R.P.,V.B.and M.M.; writing—original draft preparation, R.P.; writing—review and editing, R.P. and M.M. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. Acknowledgments: The review presents research findings that have been obtained through the long-term research programme “Sustainable forestry and global changes”, implemented by the Lithuanian Research Centre for Agriculture and Forestry. We dedicate this article to the memory of PhD Professor Victor Gorshkov (Petersburg Nuclear Physics Institute) for his inspiring contributions to Forest Science. Conflicts of Interest: The authors declare no conflict of interest.

References

1. Angelstam, P.; Kuuluvainen, T. Boreal Forest Disturbance Regimes, Successional Dynamics and Landscape Structures: A European Perspective. Ecol. Bull. 2004, 51, 117–136. [CrossRef] 2. Shipley, B.; Vile, D.; Garnier. E. From plant traits to plant communities: A statistical mechanistic approach to biodiversity. Science 2006, 314, 812–814. [CrossRef][PubMed] 3. Van Teeffelen, A.J.A.; Vos, C.C.; Opdam, P.F.M. Species in a dynamic world: Consequences of habitat network dynamics on conservation planning. Biol. Conserv. 2012, 153, 239–253. [CrossRef] 4. Aubry, C.; DeVine, W.; Shoal, R.; Bower, A.; Miller, J.; Maggiulli, N. Climate Change and Forest Biodiversity: A Vulnerability Assessment and Action Plan for National Forests in Western Washington; USDA Forest Service, Pacific Northwest Region: Portland, OR, USA, 2011; p. 308. 5. Franklin, J. Regeneration and growth of pioneer and shade-tolerant rain forest trees in Tonga. N. Z. J. Bot. 2003, 41, 669–684. [CrossRef] 6. Millet, J.; Bouchard, A.; Édelin, C. Relationship between architecture and successional status of trees in the temperate deciduous forest. Écoscience 1999, 6, 187–203. [CrossRef] 7. Stern, K.; Roche, L. Genetics of Forest Ecosystems; Ecological Studies Series 6; Springer: Berlin/Heidelberg, Germany; New York, NY, USA, 1974. [CrossRef] 8. Whittaker, R.H. A consideration of climax theory: The climax as a population and pattern. Ecol. Monogr. 1953, 23, 41–78. [CrossRef] 9. Richards, P.W. The Tropical Rain Forest: An Ecological Study; Cambridge University Press: New York, NY,USA, 1952. 10. Clements, F.E. Nature and structure of the climax. J. Ecol. 1936, 24, 252–284. [CrossRef] 11. Frelich, L.E. Forest Dynamics and Disturbance Regimes: Studies from Temperate Evergreen-Deciduous Forests; Cambridge Studies in Ecology Series; Cambridge University Press: Cambridge, UK, 2002; p. 266. 12. Lewis, J.S.; Farnsworth, M.L.; Burdett, C.L.; Theobald, D.M.; Gray, M.; Miller, R.S. Biotic and abiotic factors predicting the global distribution and population density of an invasive large mammal. Sci. Rep. 2017, 7, 44152. [CrossRef] 13. Eliot, C.H. The Legend of Order and Chaos. In Philosophy of Ecology; DeLaplante, K., Brown, B., Peacock, K.A., Eds.; Elsevier: Waltham, MA, USA, 2011; pp. 49–107. 14. Eliot, C.H. Method and metaphysics in Clements’s and Gleason’s ecological explanations. Stud. Hist. Philos. Sci. C 2007, 38, 85–109. [CrossRef] 15. Hagen, J.B. An Entangled Bank: The Origins of Ecosystem Ecology; Rutgers University Press: New Brunswick, NJ, USA, 1992. 16. Hagen, J.B. Organism and Environment: Frederic Clements’s Vision of a Unified Physiological Ecology. In The American Development of Biology; Rainger, R., Benson, K.R., Maienschein, J., Eds.; University of Pennsylvania Press: Philadelphia, PA, USA, 1988; pp. 257–280. Plants 2020, 9, 1381 9 of 11

17. Borman, M.M.; Pyke, D.A. Successional Theory and the Desired Plant Community Approach. Rangelands 1994, 16, 82–84. 18. Bazzaz, F.A. Plants in Changing Environments: Linking Physiological, Population, and Community Ecology; Cambridge University Press: Cambridge, UK, 1996. 19. Rusbult, C. Einstein’s Theory of Relativity is a Theory of Invariance-Constancy. 2007. Available online: https://www.asa3.org/ASA/education/views/invariance.htm (accessed on 27 October 2019). 20. Kazansky, A.B. Agential anticipation in the central nervous system. In Anticipation: Learning from the Past; Nadin, M., Ed.; Cognitive Systems Monographs 25; Springer International Publishing: Cham, Switzerland, 2015; pp. 101–112. 21. Li, B.-L. Fractal geometry applications in description and analysis of patch patterns and . Ecol. Model. 2000, 132, 33–50. [CrossRef] 22. Gergle, S.E.; Turner, M.G. Learning Landscape Ecology: A Practice Guide to Concepts and Techniques; Springer: New York, NY, USA, 2001. 23. Angelstam, P.; Manton, M.; Pedersen, S.; Elbakidze, M. Disrupted Trophic Interactions Affect Recruitment of Boreal Deciduous and Coniferous Trees in Northern Europe. Ecol. Appl. 2017, 27, 1108–1123. [CrossRef] [PubMed] 24. Edenius, L.; Bergman, M.; Ericsson, G.; Danell, K. The role of moose as a disturbance factor in managed boreal forests. Silva Fenn. 2002, 36, 57–67. 25. Gleason, H.A. The structure and development of the plant association. Bull. Torrey Bot. Club 1917, 44, 463–481. [CrossRef] 26. Petrokas, R.; Baliuckas, V. Self-sustaining forest. Appl. Ecol. Environ. Res. 2017, 15, 409–426. [CrossRef] 27. Wendt, H.; Didier, G.; Combrexelle, S.; Abry, P. Multivariate Hadamard self-similarity: Testing fractal connectivity. Phys. D Nonlinear Phenom. 2017, 356–357, 1–36. [CrossRef] 28. Combrexelle, S.; Wendt, H.; Didier, G.; Abry, P. Multivariate scale-free dynamics: Testing fractal connectivity. In Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, USA, 5–9 March 2017; pp. 3984–3988. 29. Sun, J.; Southworth, J. Remote sensing-based fractal analysis and scale dependence associated with forest fragmentation in an Amazon tri-national frontier. Remote Sens. 2013, 5, 454–472. [CrossRef] 30. Elliott, S.D.; Blakesley, D.; Hardwick, K. Restoring Tropical Forests: A Practical Guide; Royal Botanic Gardens: Kew, UK, 2013; p. 344. 31. Gorshkov, V.G.; Makarieva, A.M. Biotic Regulation Overview. 2001–2019. Available online: https://www. bioticregulation.ru/life/life2.php (accessed on 5 August 2020). 32. Chazdon, R.L. Second Growth: The Promise of Tropical Forest Regeneration in an Age of Deforestation; University of Chicago Press: Chicago, IL, USA, 2014. 33. Erickson, V.; Aubry, C.; Berrang, P.; Blush, T.; Bower, A.; Crane, B.; DeSpain, T.; Gwaze, D.; Hamlin, J.; Horning, M.; et al. Genetic Resource Management and Climate Change: Genetic Options for Adapting National Forests to Climate Change; USDA Forest Service: Washington, DC, USA, 2012; p. 19. 34. Swenson, N.G.; Anglada-Cordero, P.; Barone, J.A. Deterministic tropical tree community turnover: Evidence from patterns of functional beta diversity along an elevational gradient. Proc. R. Soc. B Biol. Sci. 2011, 278, 877–884. [CrossRef] 35. Gorshkov, V.G.; Makarieva, A.M.; Gorshkov, V.V. Revising the fundamentals of ecological knowledge: The biota-environment interaction. Ecol. Complex. 2004, 1, 17–36. [CrossRef] 36. Petrere, M., Jr.; Giordano, L.C.; De Marco, P., Jr. Empirical diversity indices applied to forest communities in different successional stages. Braz. J. Biol. 2004, 64, 841–851. [CrossRef] 37. Godvod, K.; Brazaitis, G.; Baˇckaitis,J.; Kulbokas, G. The development and growth of larch stands in Lithuania. J. For. Sci. 2018, 64, 199–206. 38. Bohn, U.; Neuhäusl, R.; Gollub, G.; Hettwer, C.; Neuhäuslová, Z.; Raus, T.; Schluter, H.; Weber, H. Karte Der Natürlichen Vegetation Europas/Map of the Natural Vegetation of Europe. Maßstab/Scale 1: 2 500 000; Bundesamt für Naturschutz/Federal Agency for Nature Conservation: Bonn, Germany, 2003. 39. Smirnova, O.V.; Bobrovsky, M.V.; Khanina, L.G.; Braslavskaya, T.Y.; Starodubtseva, E.A.; Evstigneev, O.I.; Korotkov, V.N.; Smirnov, V.E.; Ivanova, N.V. Nemoral Forests. In European Russian Forests; Smirnova, O.V., Bobrovsky, M.V., Khanina, L.G., Eds.; Plant and Vegetation 15; Springer: Dordrecht, The Netherlands, 2017; p. 461. [CrossRef] Plants 2020, 9, 1381 10 of 11

40. State Forest Service. Lithuanian Statistical Yearbook of Forestry 2017; Lutute: Vilnius, Lithuania, 2017. 41. Karazija, S. Types of Lithuanian Forest; Mokslas: Vilnius, Lithuania, 1988. (In Lithuanian) 42. Navasaitis, M.; Ozolinˇcius,R.; Smaliukas, D.; Baleviˇciene,˙ J. Dendroflora of Lithuania; Lutute:˙ Kaunas, Lithuania, 2003. (In Lithuanian) 43. More, D.; White, J. Cassell’s Trees of Britain and Northern Europe; Cassell: London, UK, 2003. 44. Lithuanian Republic. Republic of Lithuania Order on the Approval of Forestry Rules; Lithuanian Ministry of the Environment: Vilnius, Lithuania, 2010. 45. Petrokas, R. Forest climax phenomenon: An invariance of scale. Forests 2020, 11, 56. [CrossRef] 46. Nottale, L. Lecture 19. Scale Relativity. In Scale Invariance and Beyond; Dubrulle, B., Graner, F., Sornette, D., Eds.; Centre de Physique des Houches Series 7; Springer: Berlin/Heidelberg, Germany, 1997; pp. 249–261. 47. Watt, A.S. Pattern and process in the plant community. J. Ecol. 1947, 35, 1–22. [CrossRef] 48. Král, K.; Shue, J.; Vrška, T.; Gonzalez-Akre, E.B.; Parker, G.G.; McShea, W.J.; McMahon, S.M. Fine-scale patch mosaic of developmental stages in Northeast American secondary temperate forests: The European perspective. Eur. J. For. Res. 2016, 135, 981–996. [CrossRef] 49. McCarthy, J.W. Gap dynamics of forest trees: A review with particular attention to Boreal forests. Environ. Rev. 2001, 9, 1–59. [CrossRef] 50. McGarigal, K.; Cushman, S.A. The Gradient Concept of Landscape Structure. In Issues and Perspectives in Landscape Ecology; Wiens, J., Moss, M., Eds.; Cambridge University Press: Cambridge, UK, 2005; pp. 112–119. 51. Bugmann, H. A review of forest gap models. Clim. Chang. 2001, 51, 259–305. [CrossRef] 52. Whitmore, T.C. On Pattern and Process in Forests. In The Plant Community as a Working Mechanism; Newman, E.I., Ed.; Blackwell Scientific Publications: Oxford, UK, 1982; pp. 45–59. 53. Chazdon, R.L.; Chao, A.; Colwell, R.K.; Lin, S.-Y.; Norden, N.; Letcher, S.G.; Clark, D.B.; Finegan, B.; Arroyo, J.P. A novel statistical method for classifying habitat generalists and specialists. Ecology 2011, 92, 1332–1343. [CrossRef] 54. Clark, D.A.; Clark, D.B. Life history diversity of canopy and emergent trees in a neotropical forest. Ecol. Monogr. 1992, 62, 315–344. [CrossRef] 55. Whitmore, T.C. Canopy gaps and the two major groups of forest trees. Ecology 1989, 70, 536–538. [CrossRef] 56. Yamamoto, S. Gap regeneration of major tree species in different forest types of Japan. Vegetatio 1996, 127, 203–213. [CrossRef] 57. Petrokas, R.; Pliura,¯ A. Persistence of progenies of wild cherry (Prunus avium L.) at northern limit of natural distribution range in transfer to Lithuania. Balt. For. 2014, 20, 58–69. 58. Gabrilaviˇcius,R.; Petrokas, R.; Danuseviˇcius,J. Rare Tree Species in the Lithuanian Forests; Baltic Printing House: Klaipeda,˙ Lithuania, 2013; p. 191. (In Lithuanian) 59. Petrokas, R. Height growth and its relation to the branching habits of wych elm (Ulmus glabra Hudson) in Lithuania. Balt. For. 2011, 17, 83–90. 60. Petrokas, R. Phenotypic Variability of Wild Apple and Wild Pear. Ph.D. Thesis, Lithuanian Forest Research Institute, Lithuanian University of Agriculture, Kaunas, Lithuania, 2006. 61. Baliuckas, V. Life History Traits and Broadleaved Tree Genetics. Ph.D. Thesis, Swedish University of Agricultural Sciences, Uppsala, , 2002. 62. Lienard, J.; Florescu, I.; Strigul, N. An appraisal of the classic forest succession paradigm with the shade tolerance index. PLoS ONE 2015, 10, e0117138. [CrossRef][PubMed] 63. Gravel, D.; Canham, C.D.; Beaudet, M.; Messier, C. Shade tolerance, canopy gaps and mechanisms of coexistence of forest trees. Oikos 2010, 119, 475–484. [CrossRef] 64. Taylor, A.R. Concepts, Theories and Models of Succession in the Boreal Forest of Central Canada. Ph.D. Thesis, Lakehead University, Thunder Bay, ON, Canada, 2009. 65. Melechow, J.S. Zur Frage der natürlichen Verjüngung der Fichte auf Brandflächen. Forstwiss. Centralbl. 1934, 78, 47–61. [CrossRef] 66. Jõgiste, K.; Frelich, L.E.; Laarmann, D.; Vodde, F.; Baders, E.; Donis, J.; Jansons, A.; Kangur, A.; Korjus, H.; Köster, K.; et al. Imprints of management history on hemiboreal forest ecosystems in the Baltic States. Ecosphere 2018, 9, e02503. [CrossRef] 67. Klopˇciˇc,M.; Simonˇciˇc,T.; Bonˇcina,A. Comparison of regeneration and recruitment of shade-tolerant and light-demanding tree species in mixed uneven-aged forests: Experiences from the Dinaric region. Forestry 2015, 88, 552–563. [CrossRef] Plants 2020, 9, 1381 11 of 11

68. Lewontin, R.C. Selection for Colonizing Ability. In The Genetics of Colonizing Species; Baker, H.G., Stebbins, G.L., Eds.; Academic Press: New York, NY, USA; London, UK, 1965; pp. 77–94. 69. Lewontin, R.C. The interaction of selection and linkage II. Optimum models. Genetics 1964, 50, 757–782. 70. Richards, P.W. The secondary succession in the tropical rain forest. Sci. Prog. 1955, 43, 49–53. 71. Delcourt, H.R.; Delcourt, P.A. Quaternary Ecology: A Paleoecological Perspective; Springer Science & Business Media: New York, NY, USA, 1991; pp. 27–28. 72. Braun, E. The unforeseen challenge: From genotype-to-phenotype in cell populations. Rep. Prog. Phys. 2015, 78, 036602. Available online: http://iopscience.iop.org/0034-4885/78/3/036602 (accessed on 1 May 2020). [CrossRef] 73. Stern, S.; Fridmann-Sirkis, Y.; Braun, E.; Soen, Y. Epigenetically heritable alteration of fly development in response to toxic challenge. Cell Rep. 2012, 1, 528–542. [CrossRef][PubMed] 74. Braun, E.; David, L.; Gissis, S.B.; Jablonka, E. The Role of Cellular Plasticity in the Evolution of Regulatory Novelty. In Transformations of Lamarckism: From Subtle Fluids to Molecular Biology; Gissis, S.B., Jablonka, E., Eds.; MIT Press: Cambridge, MA, USA, 2011; pp. 181–191. 75. Lamm, E.; Jablonka, E. The nurture of nature: Hereditary plasticity in evolution. Philos. Psychol. 2008, 21, 305–319. [CrossRef] 76. Stancioiu, P.T.; O’Hara, K.L. Regeneration growth in different light environments of mixed species, multiaged, mountainous forests of Romania. Eur. J. For. Res. 2006, 125, 151–162. [CrossRef] 77. Frank, S.A.; Bascompte, J. Invariance in ecological pattern. F1000Research 2019, 8, 2093. [CrossRef][PubMed] 78. Simard, S.W.; Martin, K.; Vyse, A.; Larson, B. Meta-Networks of Fungi, Fauna and Flora as Agents of Complex Adaptive Systems. In Managing World Forests as Complex Adaptive Systems; Messier, C., Puettmann, K.J., Coates, K.D., Eds.; Routledge: London, UK, 2013; pp. 133–164. 79. Goetze, D.; Karlowski, U.; Porembski, S.; Tockner, K.; Watve, A.; Riede, K. Spatial and Temporal Dimensions of Biodiversity Dynamics. In Biodiversity: Structure and Function; Barthlott, W., Linsenmair, K.E., Porembski, S., Eds.; Encyclopedia of Life Support Systems (EOLSS): Oxford, UK, 2009; pp. 166–208. 80. Lindenmayer, D.B.; Burton, P.J.; Franklin, J.F. Salvage and Its Ecological Consequences; Island Press: Washington, DC, USA, 2008; 227p. 81. Trakai Historical National Park. Law on the Amendment of the Forest Law of the Republic of Lithuania. 2011–2009. Available online: http://www.seniejitrakai.lt/law-on-the-amendment/ (accessed on 5 August 2020). 82. Roberge, J.-M.; Angelstam, P. Indicator Species among Resident Forest Birds—A Cross-Regional Evaluation in Northern Europe. Biol. Conserv. 2006, 130, 134–147. [CrossRef] 83. Elbakidze, M.; Ražauskaite,˙ R.; Manton, M.; Angelstam, P.; Mozgeris, G.; Brumelis,¯ G.; Brazaitis, G.; Vogt, P. The Role of Forest Certification for Biodiversity Conservation: Lithuania as a Case Study. Eur. J. For. Res. 2016, 135, 361–376. [CrossRef] 84. Houston Durrant, T.; de Rigo, D.; Caudullo, G. Fagus sylvatica and Other in Europe: Distribution, Habitat, Usage and Threats. In European Atlas of Forest Tree Species; San-Miguel-Ayanz, J., de Rigo, D., Caudullo, G., Houston Durrant, T., Mauri, A., Eds.; Publ. Off. EU: Luxembourg, 2016; p. e012b90+. 85. Frelich, L.E.; Jõgiste, K.; Stanturf, J.A.; Parro, K.; Baders, E. Natural Disturbances and Forest Management: Interacting Patterns on the Landscape. In Ecosystem Services from Forest Landscapes; Springer International Publishing: Cham, Switzerland, 2018; pp. 221–248.

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).